An interactive dashboard for analyzing Formula 1 historical data with driver/constructor performance metrics and race visualizations.
- Driver/constructor performance analytics
- Circuit speed comparisons
- Interactive race telemetry
- Pit stop efficiency analysis
- Frontend: Streamlit
- Data Processing: Pandas, NumPy
- Visualization: Plotly, Matplotlib, Seaborn
data/
├── drivers.csv
├── constructors.csv
├── races.csv
├── results.csv
├── qualifying.csv
└── lap_times.csv
# Clone repo
git clone https://github.com/yourusername/f1-dashboard.git
cd f1-dashboard
# Install dependencies
pip install -r requirements.txt
# Launch app
streamlit run app.py
# Get top 10 winning drivers
winners = results[results['position'] == 1]
top_drivers = winners['driverId'].value_counts().head(10)
MIT License - See LICENSE for details.